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Entry Level Machine Learning Engineer Jobs in Urbana, OH

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Design, develop, and implement machine learning and deep learning models * Build and optimize model ...

Pwc

ERP AI Engineer - Senior Associate

Columbus, OH · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Deloitte

Cyber - SecOps - Consultant

Columbus, OH · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Maven LLC

Software Engineer

Columbus, OH · Hybrid

... machine learning for existing automations * Potentially assist in development of new UI features ... Document all programming tasks and procedures * Perform routine software maintenance * Execute ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering ...

OCLC, Inc.

Associate Data Scientist

Dublin, OH · On-site

$56K - $57K/yr

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... You'll learn, create, and problem-solve with technologists, product developers, librarians ...

Hirekeyz Inc

iOS Developer

Columbus, OH · On-site

$50 - $68.75/hr

Role: iOS Developer Location: Columbus, OH Job Type: W-2/Full Time Job Decription: Required ... machine learning, mobile, etc.) · Ability to tackle design and functionality problems ...

Prophecy Technologies

Java Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Java Developer Location: Plano, TX/Columbus, OH/New York, NY/Wilmington, DE/Pittsburgh, PA/Mountain ... machine learning, and mobile. * Strong Core Java (Version 17 or higher) development experience with ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Urbana, OH

Entry Level Machine Learning Engineer information

See Urbana, OH salary details

$28.2K

$65.1K

$110.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Urbana, OH is $65,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $73,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What cities near Urbana, OH are hiring for Entry Level Machine Learning Engineer jobs? Cities near Urbana, OH with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Urbana, OH as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,101 per year, or $31.3 per hour.

AI/ML Engineer (Active TS/SCI )

Rackner

Dayton, OH • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Job Title: AI/ML Engineer

Location: Dayton, OH 
Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
  • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
  • Perform feature engineering and prepare high-quality datasets for training and evaluation
  • Create and maintain AI/ML training runbooks and documentation
  • Collaborate with data engineers and software teams to integrate models into production systems
  • Ensure reproducibility through data versioning and metadata standards
  • Continuously evaluate and improve model performance and scalability

Required Qualifications

  • Strong proficiency in designing and implementing model architectures, including:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Transformer-based architectures
    • Large Language Models (LLMs)
    • Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with:
    • PyTorch and/or TensorFlow
    • Hugging Face, Ollama, or similar frameworks
  • Experience with data engineering concepts, including:
    • Feature engineering and dataset preparation
    • Data versioning tools (e.g., lakeFS)
    • Metadata standards such as STAC
  • Ability to create clear and effective AI/ML training runbooks
  • Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

  • Experience deploying models in cloud-native environments
  • Familiarity with DevSecOps practices
  • Experience working with large-scale or federal datasets
  • Understanding of MLOps principles and pipelines

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
    • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.

Apply